{"url":"/dataset/nemo-sea-surface-temperature-dataset","name":"NEMO Sea Surface Temperature Dataset","full_name":null,"description_markdown":"This dataset contains spatiotemporal sequences of SST generated by the\r\nNEMO ocean engine.  The observations correspond to 250 randomly selected data sites\r\nwithin a [0, 550] × [100, 650] square cropped from the area between 50 deg N − 65 deg N and 75W deg −\r\n10W deg starting from 01-01-2016 to 12-31-2017. The data is divided into 24 sequences, each\r\nlasting 30 days (extra days in each month are truncated). Data corresponding to 2016 are used for\r\ntraining and the rest is used for validation and testing, in the equal sequential split.","description_withheld":null,"homepage":"https://resources.marine.copernicus.eu/products","introduced_date":"2022-03-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/unraveled-multilevel-transformation-networks","title":"Unraveled Multilevel Transformation Networks for Predicting Sparsely-Observed Spatiotemporal Dynamics","first_author":"Priyabrata Saha","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["NEMO Sea Surface Temperature Dataset"],"data_loaders":[{"repo":"https://github.com/chenmoranqi/code","url":"https://github.com/chenmoranqi/code","frameworks":["tf","pytorch","jax"]}],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}